Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 12,531 to 12,540 of 210,436 articles

Hybrid multi-scale CNN-Residual-LSTM approach for robust state-of-charge estimation in lithium-ion batteries.

Scientific reports
Accurate estimation of State of Charge (SoC) and State of Health (SoH) values in battery management systems is crucial for maintaining energy efficiency, ensuring operational safety, and sustaining battery life. This study proposes a hybrid deep lear... read more 

Optimizing multi-label image annotation: a hybrid CNN-Transformer deep learning approach.

Scientific reports
Multi-label image annotation remains a challenging task due to highly imbalanced label distributions, co-occurring semantic concepts, and the presence of rare or noisy annotations. To address these challenges, we present ReSwinNet, a hybrid CNN-Trans... read more 

SDG driven carbon aware machine learning model recommendation framework.

Scientific reports
Understanding the carbon footprint is crucial for sustainable AI development. This work presents a framework called "carbon aware optimistic machine learning recommendation framework" (CAOMLF) that aims to balance machine learning performance with en... read more 

LSTM-based safety-oriented prediction of big toe skin temperature in extreme cold conditions for mountaineering footwear evaluation.

Scientific reports
This study proposes a safety-oriented framework for the assessment of mountaineering footwear insulation in extreme cold environments. A novel metric, the Duration of Safe Exposure (DSE), is introduced and defined as the time required for big toe ski... read more 

Regression modeling of optical properties for optical design in high-volume white LED manufacturing.

Scientific reports
In high-volume manufacturing of white light-emitting diodes (LEDs), maintaining consistent luminous flux and chromaticity is essential for stable optical performance and process consistency. Variations in the radiant flux of the blue LED chip and the... read more 

Interpretable ensemble learning framework for shear strength assessment of corroded reinforced concrete beams.

Scientific reports
The assessment of deterioration-affected reinforced concrete (RC) structures is an important task for maintaining structural safety and supporting maintenance and strengthening decisions in the built environment. As corrosion influences structural re... read more 

Identification and analysis of oxidative stress-related genes associated with the occurrence and development of diabetic retinopathy.

Scientific reports
Diabetic retinopathy (DR) develops via complex interactions of multiple risk factors and molecular pathways. However, the association between oxidative stress-related genes (OSRGs) and DR progression remains poorly understood. We analyzed two DR data... read more 

A digital twin and deep-learning ensemble for cyber attack detection in industrial control systems at the IoT edge.

Scientific reports
Industrial Control Systems (ICS) face escalating cyber threats as adversaries increasingly exploit artificial intelligence (AI) to evade conventional defenses. This paper introduces a Digital Twin-enhanced security framework in which a real-time, phy... read more 

Enhanced geometry control powered by AI for UAVS with a robotic arm for compensating for disturbances.

Scientific reports
Unmanned Aerial Vehicles (UAVs) equipped with robotic manipulators have emerged as a powerful paradigm for advanced aerial manipulation tasks, including infrastructure inspection, emergency response, and precise object handling in hazardous or inacce... read more 

A hybrid KF-GAIN framework for dynamic state estimation in islanded microgrids under missing PMU data and line impedance uncertainty.

Scientific reports
The similar time constants of voltage source inverter-based distributed generation units and other components in islanded microgrids (IMGs) pose significant challenges for dynamic state estimation (DSE). To address these issues, particularly under co... read more